datascisteven/Automated-Hate-Tweet-Detection
Developing a classification model to detect hate tweets ready for deployment using various NLP techniques
This tool helps social media managers and content moderators automatically identify and flag hate speech in tweets. You feed it tweets, and it tells you whether each tweet contains hate speech or not. This is for anyone responsible for maintaining a safe and respectful online community, such as trust and safety teams or community managers.
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Use this if you need an automated way to screen large volumes of tweets for hate speech to ensure content compliance and platform safety.
Not ideal if you need to detect nuanced forms of offensive language or require human-in-the-loop review for highly ambiguous cases due to evolving slang or context.
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19
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6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 07, 2024
Commits (30d)
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